US2024408446A1PendingUtilityA1

Exercise motion analysis system, exercise motion analysis method, and exercise motion analysis program

Assignee: ASICS CORPPriority: Dec 25, 2020Filed: Dec 25, 2020Published: Dec 12, 2024
Est. expiryDec 25, 2040(~14.4 yrs left)· nominal 20-yr term from priority
Inventors:Nao Hirakawa
A63B 2220/836A63B 2024/0065A63B 24/0003G16H 50/30A61B 2562/0219A61B 5/7275A61B 5/7267A61B 5/681A61B 5/486A61B 5/112A61B 5/02438A61B 5/01A61B 5/1112A61B 5/1118G16H 20/30A63B 24/0062A61B 5/0022
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Claims

Abstract

In an exercise motion analysis system, an input unit inputs motion data corresponding to multiple types of motion parameters indicating motion states of a user who is running, and index data corresponding to an index parameter indicating exercise performance of the user in the running. An estimation unit estimates which of multiple types of motion parameters has a higher degree of contribution to enhancement of exercise performance for the user. An item storage unit stores information on multiple types of wearing tools. Based on wearing tool property data that includes a property, determined for each of multiple types of wearing tools, indicating which of multiple types of motion parameters is changed to contribute to enhancement of exercise performance, a selection unit selects a wearing tool having a property of changing a motion parameter of a type estimated by the estimation unit and thereby contributing to enhancement of exercise performance.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . An exercise motion analysis system, comprising:
 an input unit that inputs motion data corresponding to a plurality of types of motion parameters indicating motion states of a user who is running, and index data corresponding to an index parameter indicating exercise performance of the user in the running;   an estimation unit that estimates which of the plurality of types of motion parameters has a higher degree of contribution to enhancement of exercise performance for the user;   an item storage unit that stores information on a plurality of types of wearing tools of which wearing during running is to be recommended to a user and also stores wearing tool property data that includes a property, determined in advance for each of the plurality of types of wearing tools, indicating which of the plurality of types of motion parameters is changed to contribute to enhancement of exercise performance;   a selection unit that selects, based on the wearing tool property data and from among the plurality of types of wearing tools, a wearing tool having a property of changing a motion parameter of a type estimated by the estimation unit and thereby contributing to enhancement of exercise performance; and   an output unit that outputs the type of a wearing tool selected by the selection unit as a wearing tool of which wearing is to be recommended to the user.   
     
     
         2 . The exercise motion analysis system according to  claim 1 , further comprising:
 an accumulation unit that accumulates, as data of the user, the motion data and the index data input by the input unit; and   a model creating unit that creates a multiple regression analysis model for obtaining the degree of contribution of each motion parameter to enhancement of exercise performance, in which the plurality of types of motion parameters in the user's running accumulated in the accumulation unit are set as explanatory variables, and the index parameter in the user's running is set as an objective variable, wherein   the estimation unit estimates, based on the multiple regression analysis model, which motion parameter has a higher degree of contribution to enhancement of exercise performance for the user.   
     
     
         3 . The exercise motion analysis system according to  claim 1 , wherein
 the wearing tool property data stored in the item storage unit include, for each of the plurality of types of wearing tools, a type of a motion parameter expected to change due to the wearing of the wearing tool and a change rate thereof, determined in advance, and   the selection unit selects, based on the wearing tool property data, a wearing tool with a higher change rate of a motion parameter of a type estimated by the estimation unit.   
     
     
         4 . The exercise motion analysis system according to  claim 3 , wherein
 the selection unit selects, based on the wearing tool property data, a plurality of candidate wearing tools in descending order of the change rate of a motion parameter of a type estimated by the estimation unit, and   the output unit outputs the types of the plurality of candidate wearing tools selected by the selection unit as wearing tools of which wearing is to be recommended to the user.   
     
     
         5 . The exercise motion analysis system according to  claim 1 , wherein
 the input unit inputs, as the index data, index data corresponding to a plurality of types of index parameters that each contribute to enhancement of exercise performance for a different objective,   the estimation unit estimates, individually for each of the plurality of types of index parameters, a motion parameter with a higher degree of contribution to enhancement of exercise performance indicated by the index parameter, and   the selection unit selects, individually for each of the plurality of types of index parameters, a wearing tool having a property of changing a motion parameter estimated for each of the plurality of types of index parameters.   
     
     
         6 . An exercise motion analysis system, comprising:
 an input unit that inputs motion data corresponding to a plurality of types of motion parameters indicating motion states of a user who is running, and index data corresponding to an index parameter indicating exercise performance of the user in the running;   an estimation unit that estimates which of the plurality of types of motion parameters has a higher degree of contribution to enhancement of exercise performance for the user; and   an output unit that outputs information corresponding to the type of the estimated motion parameter.   
     
     
         7 . An exercise motion analysis method, comprising:
 inputting, by a predetermined information acquiring means, motion data corresponding to a plurality of types of motion parameters indicating motion states of a user who is running, and index data corresponding to an index parameter indicating exercise performance of the user in the running;   estimating, by predetermined processing performed by a computer, which of the plurality of types of motion parameters has a higher degree of contribution to enhancement of exercise performance for the user;   retrieving, from a predetermined storage means, wearing tool property data that includes a property, determined in advance for each of a plurality of types of wearing tools of which wearing during running is to be recommended to a user, indicating which of the plurality of types of motion parameters is changed to contribute to enhancement of exercise performance;   selecting, by predetermined processing performed by a computer based on the wearing tool property data, a wearing tool having a property of changing a motion parameter of the estimated type and thereby contributing to enhancement of exercise performance, from among the plurality of types of wearing tools; and   outputting, by a predetermined information outputting means, the type of the selected wearing tool as a wearing tool of which wearing is to be recommended to the user.   
     
     
         8 . A non-transitory computer-readable storage medium storing an exercise motion analysis program causing a computer to implement:
 inputting motion data corresponding to a plurality of types of motion parameters indicating motion states of a user who is running, and index data corresponding to an index parameter indicating exercise performance of the user in the running;   estimating which of the plurality of types of motion parameters has a higher degree of contribution to enhancement of exercise performance for the user;   storing information on a plurality of types of wearing tools of which wearing during running is to be recommended to a user and also storing wearing tool property data that includes a property, determined in advance for each of the plurality of types of wearing tools, indicating which of the plurality of types of motion parameters is changed to contribute to enhancement of exercise performance;   selecting, based on the wearing tool property data and from among the plurality of types of wearing tools, a wearing tool having a property of changing a motion parameter of a type estimated by the estimating and thereby contributing to enhancement of exercise performance; and   outputting the type of a wearing tool selected by the selecting, as a wearing tool of which wearing is to be recommended to the user.   
     
     
         9 . The exercise motion analysis system according to  claim 2 , wherein
 the wearing tool property data stored in the item storage unit include, for each of the plurality of types of wearing tools, a type of a motion parameter expected to change due to the wearing of the wearing tool and a change rate thereof, determined in advance, and   the selection unit selects, based on the wearing tool property data, a wearing tool with a higher change rate of a motion parameter of a type estimated by the estimation unit.   
     
     
         10 . The exercise motion analysis system according to  claim 9 , wherein
 the selection unit selects, based on the wearing tool property data, a plurality of candidate wearing tools in descending order of the change rate of a motion parameter of a type estimated by the estimation unit, and   the output unit outputs the types of the plurality of candidate wearing tools selected by the selection unit as wearing tools of which wearing is to be recommended to the user.   
     
     
         11 . The exercise motion analysis system according to  claim 2 , wherein
 the input unit inputs, as the index data, index data corresponding to a plurality of types of index parameters that each contribute to enhancement of exercise performance for a different objective,   the estimation unit estimates, individually for each of the plurality of types of index parameters, a motion parameter with a higher degree of contribution to enhancement of exercise performance indicated by the index parameter, and   the selection unit selects, individually for each of the plurality of types of index parameters, a wearing tool having a property of changing a motion parameter estimated for each of the plurality of types of index parameters.   
     
     
         12 . The exercise motion analysis system according to  claim 3 , wherein
 the input unit inputs, as the index data, index data corresponding to a plurality of types of index parameters that each contribute to enhancement of exercise performance for a different objective,   the estimation unit estimates, individually for each of the plurality of types of index parameters, a motion parameter with a higher degree of contribution to enhancement of exercise performance indicated by the index parameter, and   the selection unit selects, individually for each of the plurality of types of index parameters, a wearing tool having a property of changing a motion parameter estimated for each of the plurality of types of index parameters.   
     
     
         13 . The exercise motion analysis system according to  claim 9 , wherein
 the input unit inputs, as the index data, index data corresponding to a plurality of types of index parameters that each contribute to enhancement of exercise performance for a different objective,   the estimation unit estimates, individually for each of the plurality of types of index parameters, a motion parameter with a higher degree of contribution to enhancement of exercise performance indicated by the index parameter, and   the selection unit selects, individually for each of the plurality of types of index parameters, a wearing tool having a property of changing a motion parameter estimated for each of the plurality of types of index parameters.   
     
     
         14 . The exercise motion analysis system according to  claim 4 , wherein
 the input unit inputs, as the index data, index data corresponding to a plurality of types of index parameters that each contribute to enhancement of exercise performance for a different objective,   the estimation unit estimates, individually for each of the plurality of types of index parameters, a motion parameter with a higher degree of contribution to enhancement of exercise performance indicated by the index parameter, and   the selection unit selects, individually for each of the plurality of types of index parameters, a wearing tool having a property of changing a motion parameter estimated for each of the plurality of types of index parameters.   
     
     
         15 . The exercise motion analysis system according to  claim 10 , wherein
 the input unit inputs, as the index data, index data corresponding to a plurality of types of index parameters that each contribute to enhancement of exercise performance for a different objective,   the estimation unit estimates, individually for each of the plurality of types of index parameters, a motion parameter with a higher degree of contribution to enhancement of exercise performance indicated by the index parameter, and   the selection unit selects, individually for each of the plurality of types of index parameters, a wearing tool having a property of changing a motion parameter estimated for each of the plurality of types of index parameters.

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